[Data] Reasons why 95% of AI agent PoCs fail
Why AI Agent PoCs Fail! An Explanation of the Reasons and What Leaders Should Change.
This document is an explanatory material summarizing the challenges of AI implementation in the supply chain domain and approaches towards success. It details five reasons why AI pilot projects fail to function in business execution and provides information on execution frameworks. It also introduces what to check when evaluating AI vendors, so please take a moment to read it. 【Contents (partial)】 ■ The problem lies not in the AI model, but in execution ■ Reasons why AI agent PoCs in the supply chain domain fail to achieve results ■ The cost implications of not achieving results ■ The missing layer of agent-led execution *For more details, please download the PDF or feel free to contact us.
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【Other Published Content】 ■Execution Framework: Analysis, Optimization, Orchestration ■Workflows for Autonomous Exception Handling ■What to Check in AI Vendor Evaluation ■Future Possibilities *For more details, please download the PDF or feel free to contact us.
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project44 is a global company on a mission to make supply chains work. For many years, we have built a trusted supply chain network around the world. We connect and track over 100 million shipments in more than 180 countries annually. Our platform continuously cleanses, validates, and contextualizes data from across the supply chain ecosystem, establishing a reliable foundation that enables predictive insights and orchestration through AI.